LTXVid Transformer Pytorch-Jax Conversion script #193
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mailvijayasingh
previously approved these changes
Jun 30, 2025
| @@ -213,7 +213,10 @@ def load_state_if_possible( | |||
| max_logging.log(f"restoring from this run's directory latest step {latest_step}") | |||
| try: | |||
| if not enable_single_replica_ckpt_restoring: | |||
| item = {checkpoint_item: orbax.checkpoint.args.PyTreeRestore(item=abstract_unboxed_pre_state)} | |||
| if checkpoint_item == " ": | |||
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similar comment as Juan from previous PR, why is checkpoint == " "
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if checkpoint set to None, cannot pass the check "if checkpoint_manager and checkpoint_item:" in max_utils.py. So I set it to empty string to get around this
| axis = _normalize_axes(axis, inputs.ndim) | ||
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| kernel_shape = tuple(inputs.shape[ax] for ax in axis) + features | ||
| # kernel_in_axis = np.arange(len(axis)) |
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remove commented lines
| return t_emb | ||
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| class AlphaCombinedTimestepSizeEmbeddings(nn.Module): |
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complete the docstring?
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Converts ltxv-13b-0.9.7-dev.safetensors from lightricks huggingface into JAX weight checkpoint.
See running instruction at https://github.com/AI-Hypercomputer/maxdiffusion/blob/conversion-script/src/maxdiffusion/models/ltx_video/utils/conversion_script_instruction.md